Adaptability

Mechanisms of GenAI Governance

Mechanisms of GenAI Governance

A case study on the responsible use of GenAI in organizations
Niklas Obermann ORCID Icon, Daniel Lupp ORCID Icon, Uta Wilkens ORCID Icon
Compared to traditional AI systems, generative artificial intelligence (GenAI) introduces user-dependent characteristics that create unique challenges for AI governance in organizations. These challenges are particularly tied to human factors, such as employee attitude, awareness, and skills, which are often neglected by existing governance frameworks. This qualitative case study examines how a manufacturing organization implemented GenAI governance mechanisms to foster the responsible use of this technology. The findings reveal that organizations should adopt a holistic approach, combining structural, procedural, and relational mechanisms to address employee-related aspects of GenAI governance. As a result, this study contributes to the growing field of GenAI governance and provides practical insights for its responsible use in organizations.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 58-64 | DOI 10.30844/I4SE.25.5.58
Data-Driven Assistance Systems in the Working Environment

Data-Driven Assistance Systems in the Working Environment

Efficient development of target group-specific BI dashboards in companies
Martin Schmauder ORCID Icon, Gritt Ott ORCID Icon, Martin Hahmann
Dashboards play a key role in informed business decisions. Based on findings from an action research process, this article shows how company-specific solutions can be systematically developed and bad investments avoided. The provision of IT capacities, securing data access, formulating requirements, and developing the data model prove to be particularly critical.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 136-143 | DOI 10.30844/I4SE.25.5.130
Developing Data Standards in Battery Cell Manufacturing

Developing Data Standards in Battery Cell Manufacturing

From requirements analysis to standard development procedure
David Roth, Tom Hülsmann, Felix Tidde
The growing demand for battery cells offers significant potential for the use of digital solutions in their manufacture, which in turn creates opportunities for added value through adaptive and flexible production systems. A key enabler is interoperable data exchange based on formalized data descriptions. Existing ontologies and information models remain too abstract for direct implementation. This paper presents a requirements analysis of data standards in battery cell manufacturing. A procedure for developing domain-specific standards based on OPC UA (Open Platform Communications Unified Architecture) is derived from the results.
Industry 4.0 Science | Volume 41 | Edition 4 | Pages 96-103
Proactive Skill Development in Logistics Management

Proactive Skill Development in Logistics Management

The future of dynamic work contexts
Michael Heins, Lisa Vogt
Smooth logistics management is fundamental for companies to function effectively. This is challenged by actor- and organization-related barriers in production planning and management. The Berufliche Hochschule Hamburg fosters the skills that individuals need to overcome obstacles in digitalized working environments. This concept is presented in the following article.
Industry 4.0 Science | Volume 41 | 2025 | Edition 4 | Pages 22-28
Increasing Resilience in Logistics with IT

Increasing Resilience in Logistics with IT

Investigating supply chain risk management information systems
Alexander Baur, Jasmin Hauser, Dieter Uckelmann ORCID Icon
The blockage of the Suez Canal in 2021, caused by the accident involving the container ship Ever Given, clearly illustrates the need to design global supply chains in such a way that they can respond quickly to disruptions. In a volatile, uncertain, complex, and ambiguous (VUCA) environment, conventional logistics processes that focus on efficiency, and supply chain management methods in particular, are increasingly reaching their limits. Resilience, achieved through a combination of robustness and agility, is essential to ensure responsiveness. This article analyzes how risk management information systems (RMIS) can increase resilience. The analysis covers data availability, data transparency, modeling and simulation of risk scenarios, and the development of appropriate emergency action plans. Despite existing challenges in designing IT infrastructure, the measures mentioned have the potential to increase resilience in logistics.
Industry 4.0 Science | Volume 41 | Edition 4 | Pages 36-42
Boosting Competitiveness in Small Batch Production

Boosting Competitiveness in Small Batch Production

Scalable and flexible body-in-white production line with collaborative mobile robots
Walid Elleuch, Tadele Belay Tuli ORCID Icon, Martin Manns ORCID Icon
Due to the higher customization of products to customer groups and needs, body-in-white manufacturing industries are facing higher variant assembly at the later stages of the production line, thus increasing production costs per unit. Flexible production processes that involve flexible material flows, non-rigid manufacturing sequences, and the automatic reconfiguration of tools are regarded as the pillars of a resilient production system. This article presents a conceptual solution for flexible Body-in-White sheet metal production with autonomous collaborative robotic systems to make product costs affordable for a higher competitive advantage.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 60-67
Increasing Supply Chain Resilience with Reverse Logistics

Increasing Supply Chain Resilience with Reverse Logistics

Hypotheses for a value model
Jürgen Hamann ORCID Icon, Christoph Wenig ORCID Icon
Manufacturing companies incorporate reverse logistics as a building block of the circular economy for greater sustainability. Case studies show that this can result in strategic opportunities. This article summarizes an analysis of expert interviews on the increase in supply chain resilience attributed to reverse logistics. Potential benefits are highlighted, and companies are encouraged to examine the approach and implement innovative solutions. The result is a hypothesis-based value model that serves as an orientation aid for decision-makers.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 34-40
Assembly in Transition

Assembly in Transition

Empirical results of digitalization
Mathias König ORCID Icon, Herwig Winkler ORCID Icon
Assembly is an important part of industrial production and is also characterized by a high proportion of manual work. Manufacturing companies have an intrinsic interest in increasing personnel productivity and preventing unit labor costs from rising. Many thus hope to gain economic benefits by implementing digitalization projects. The potential of digitalization in assembly must be exploited to achieve these goals.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 42-49
Leadership in Transition

Leadership in Transition

Transformational and shared leadership in the context of virtual collaboration
Christina Mayer ORCID Icon, Susanne Mütze-Niewöhner, Verena Nitsch ORCID Icon
Advances in information and communication technology (ICT) are opening up new opportunities for virtual collaboration. Shared leadership is a promising modern concept for overcoming challenges in the areas of communication, knowledge sharing and company loyalty. Empirical findings on shared leadership in virtual teams can shape recommendations on how successful leadership can support the virtualization of teamwork.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 107-113 | DOI 10.30844/I4SE.24.5.106
Digital and Ecological Transformation in Companies

Digital and Ecological Transformation in Companies

Challenges and potential in interaction
Manfred Wannöfel, Bernd Kuhlenkötter ORCID Icon, Christopher Prinz ORCID Icon, Fabian Hoose ORCID Icon, Manfred Wannöffel ORCID Icon
Although the concept of double transformation is being intensely discussed in companies, the practical implementation in operational structures often remains unclear. This article sheds light on how digital technologies and environmental sustainability strategies can be developed either synergistically, antagonistically or independently of each other. In addition, it discusses the different experiences of employees in different industries and the varying progress in the introduction of digital and ecological measures. To this end, it will discuss existing research findings and practical examples that pave the way for the successful integration of both transformation processes in companies.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 34-42 | DOI 10.30844/I4SE.24.5.34
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